جست‌وجوی استاد و پژوهشگر

• Quality of Experience (QoE) of Internet applications
• Artificial intelligence and machine learning for communication networks
• Measurement and analytics of encrypted network traffic
• +۵ مورد دیگر

Prof. Dr. Michael Seufert is a Full Professor and Chairholder at the University of Augsburg since October 2023, leading the Chair of Networked Systems and Communication Networks within the Faculty of Applied Computer Science. Previously, he served as a Private Lecturer at the University of Würzburg and completed his Habilitation in Computer Science there in 2023. His academic journey includes a PhD in Computer Science from the University of Würzburg (2017) with a thesis on Quality of Experience and Access Network Traffic Management of HTTP Adaptive Video Streaming, which earned him two prestigious Best Dissertation Awards. His research focuses on Quality of Experience (QoE) of Internet applications, artificial intelligence and machine learning for communication networks, measurement and analytics of encrypted network traffic, and data-driven proactive user-centric network management solutions. His work bridges theoretical foundations with practical applications in network monitoring, security, and performance optimization. Recent research has increasingly incorporated machine learning techniques to address challenges in network management, traffic analysis, and user experience assessment. Prof. Seufert's publication record shows a clear evolution from foundational work on QoE modeling and HTTP adaptive streaming toward more sophisticated applications of machine learning in network operations. His recent publications (2023-2025) demonstrate a strong emphasis on practical ML applications for network monitoring, security, and optimization, with particular attention to real-world constraints and performance requirements. The research spans multiple subfields including encrypted traffic analysis, explainable AI for network management, edge computing, and quality assessment for emerging applications. CNOM Young Professional Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM) (2024) Best Dissertation Award 2018 of KuVS (Communication and Distributed Systems) special interest group Best Dissertation Award of the IEEE Communications Society (ComSoc) Technical Committee on Network Operations & Management (CNOM) Prof. Seufert actively supervises research projects and advises students through thesis projects and practical modules. His teaching portfolio includes Communication Systems, Management of Communication Networks, Practical Introduction to Internet-Technologies, and seminars on Networked Systems. He leads a research group focused on networked systems and communication networks, with current projects exploring machine learning applications in networking, as evidenced by the organization of the 3rd International Workshop on Machine Learning in Networking (MaLeNe 2025).

• Wireless Communications
• Signal Processing
• MIMO Systems
• +۴ مورد دیگر

Cédric Le Ruyet is a prominent researcher at the Conservatoire National des Arts et Métiers (CNAM) , affiliated with the CEDRIC Laboratory. His work spans Wireless Communications , Signal Processing , and 5G/6G Network Design , with a focus on Filter Bank Multicarrier (FBMC) systems, MIMO , and Cognitive Radio . He collaborates extensively with institutions like CEA-LETI and CNAM . His research interests include Channel Modeling , Resource Allocation , Beamforming , and Machine Learning in wireless contexts. He has contributed to Reconfigurable Intelligent Surfaces (RIS) for beam optimization and SCMA/OFDM codebook design. Recent publications highlight his work on QAM-FBMC systems, Rayleigh Fading Models , and 5G Network Coexistence . His articles often explore Distributed MIMO , Low-Complexity Equalizers , and Indoor Positioning via Channel State Information (CSI) . He has authored numerous IEEE Transactions and conference papers, with technical reports for projects like ANR POSEIDON and NF-PERSEUS . His methodologies integrate Genetic Algorithms , Lattice-Reduction , and Deep Learning for next-gen wireless systems.

Christiane Antweilerمشاهده پروفایل

پژوهشگر

• Digital Signal Processing
• Speech and Audio Processing
• Acoustic System Identification
• +۶ مورد دیگر

Dr.-Ing. Christiane Antweiler is a Researcher at the Institute of Communication Systems (IKS) , part of RWTH Aachen University 's Faculty of Electrical Engineering and Information Technology. Her work focuses on algorithms for digital speech/audio processing, multi-channel system identification, head-related transfer functions (HRTFs), and acoustic/echo cancellation in medical and teleconferencing applications. Research topics: Medical diagnostics signal processing , time-variant system identification , HRTF measurement , and real-time audio implementation . Current projects: Connected Visual Reality (CoVR) , Acoustic Tube Endoscopy , and Spatial Rendering with quasi-continuous HRTFs. Her 15 most recent publications (2025–2011) span adaptive filtering , acoustic system identification , and 3D audio rendering , with a strong emphasis on perfect sequence excitation and medical applications . She received the Best Paper Award at ICMCIS 2022 for her work on spectrum monitoring. Teaching roles include Information Theory and Source Coding (since 2009) and Digital Speech Processing 1 (2014–2015). Tools used: Matlab , C/C++ , and RT Proc for real-time audio processing.

Decky Aspandiمشاهده پروفایل

پژوهشگر

• Machine Learning
• Deep Learning
• Computer Vision
• +۷ مورد دیگر

Decky Aspandi is a Researcher at Universitat Stuttgart in the Analytic Computing department. He holds a Ph.D. in Information and Communication Technologies from Universitat Pompeu Fabra, Barcelona, an M.Sc. in Computer Engineering from King Mongkuts University of Technology Thonburi, and a Bachelor in Computer Science from University of Mulawarman. Research Focus: Machine Learning, Deep Learning, Computer Vision, Affective Computing, Temporal Modeling, and Human-Computer Interaction. Teaching Experience: Teaching Fellow at Universitat Stuttgart (2022-2023, 2021-2022), Universitat Pompeu Fabra (2017-2020), and University of Mulawarman (2009-2013). Key Publications: 14 recent works on topics including eye-gaze prediction, facial alignment, lie detection, and affective computing applications.

• Network Calculus
• Quality of Service (QoS)
• Wireless Networks
• +۷ مورد دیگر

Professor Yuming Jiang is affiliated with the Norwegian University of Science and Technology (NTNU) as a full Professor in the Department of Information Security and Communication Technology, Faculty of Information Technology and Electrical Engineering. He leads the Master of Science in Digital Infrastructure and Cyber Security program and serves on the board of IEEE Norway Section. BSc: Peking University MEng: Beijing Institute of Technology PhD: National University of Singapore (NUS) His research focuses on network calculus , quality of service guarantees in communication networks, and performance analysis of wireless systems and time-sensitive networks . He has developed foundational models for stochastic network calculus (snetcal) and explored deterministic networking (DetNet) principles. Recent publications address UAV-assisted IoT networks , NFV recovery strategies , and blockchain transaction analysis . He has held visiting positions at Northwestern University (2009-2010) and Columbia University (2015-2016). ERCIM Fellowship recipient Member of Norwegian Academy of Technological Sciences (NTVA) His work spans network management , virtualization , and cybersecurity in both theoretical and applied contexts.

• Organizational Complexity
• Leadership Theory
• Cybersecurity Strategy
• +۵ مورد دیگر

Stig Ole Johannessen is a Professor at the Department of Information Security and Communication Technology, Norwegian University of Science and Technology (NTNU). His research focuses on organizational complexity, leadership theory, cybersecurity strategy, police reform, and innovation processes in public and private sectors. PhD in Logistics Organizations (2003) Key research areas: Complexity Theory, Crisis Management, Norwegian Security Policy His publications explore: Time-space dynamics in virtual realities (2024) Preventive strategies against school shootings (2023) Post-22/7 police reform analysis (2016) Complexity in organizational innovation (2003-2012) As an active public commentator, Johannessen has contributed to debates on societal violence and security policy through interviews (2023) and columns in major Norwegian media outlets. He teaches advanced courses on cybersecurity and AI in strategic management.

• Neuroscience
• Cognitive Psychology
• Addictive Disorders
• +۳ مورد دیگر

Rebecca Kirkham is a Research Fellow at the School of Educational Psychology & Counselling, Monash University. Her work intersects neuroscience and psychology, focusing on cognitive function, addictive disorders, and immersive technologies. Role: Research Fellow Institution: Monash University Sub-unit: School of Educational Psychology & Counselling Contact: Rebecca.Kirkham@monash.edu Research Interests: Her research spans neurocognitive mechanisms, including: - Executive Function Assessment using virtual reality. - Addictive Disorders with a focus on digital neurocognitive tools. - Performance Under Pressure through multidisciplinary consensus studies. - Cannabis and Neuroimaging examining brain morphology. Publication Trends: Recent work highlights virtual reality applications in cognitive assessment and transdisciplinary approaches to understanding performance under stress. Earlier studies focus on cannabis-related neuroplasticity, emphasizing her blend of clinical and technological research. Collaborative Network: Rebecca collaborates internationally, as seen in multi-panel Delphi studies and publications with cross-institutional authors. Her work aligns with UN Sustainable Development Goals related to mental health and well-being.

Jennifer Barredoمشاهده پروفایل

استادیار

• Neuroimaging
• Psychiatry
• Suicide Prevention
• +۵ مورد دیگر

Jennifer Barredo is an Assistant Professor of Psychiatry and Human Behavior (Research) at Brown University's Warren Alpert School of Medicine and a Research Scientist at the Center for Neurorestoration and Neurotechnology, VA Providence Health System. Her work focuses on neuroimaging-based investigations of suicide risk, emotional regulation disorders, and treatment responsiveness in psychiatric conditions. BS in Psychology (University of Washington, 2006) PhD in Neuroscience (Brown University, 2013) Postdoctoral Research Associate (Brown University, 2013-2014) Research Interests: Dr. Barredo employs multimodal neuroimaging (fMRI, structural imaging) and machine learning to identify neural signatures of suicide risk, PTSD, and depression. Her work bridges basic neuroscience with clinical applications in veterans' mental health. Publication Trends: Recent work examines functional connectivity in PTSD, glutamatergic biomarkers for TMS response, and neuromodulation targets derived from lesion studies. Collaborations with Noah Philip and others focus on veterans' suicide prevention. Scientific Awards: VA Career Development-2 Award (2019-2023) Brain & Behavior Research Foundation Young Investigator (2020-2021) ACNP Senior Travel Award (2019) Training & Collaborations: Director of the Clinical Neuroimaging Research Core, she collaborates across Brown's Psychiatry department and VA systems. Current projects integrate deep phenotyping with neuroimaging to optimize mental health interventions.

• Wireless Networks
• Network Scheduling
• Sufficient Dimension Reduction
• +۴ مورد دیگر

Bin Li is an Associate Professor at the School of Electrical Engineering and Computer Science. His research focuses on wireless networks, network scheduling, sufficient dimension reduction, and statistical inference. NSF-funded projects: EAGER: TaskDCL, CAREER: Wireless Collaborative Mixed Reality Networking, CNS Core: Scalable Algorithms for Virtual Reality Over Wireless Networks. Grants include foundational work in AI-driven task training, geospatial digital twins, and joint communication-computation-learning systems. His research spans wireless scheduling algorithms, data freshness optimization, and nonlinear sufficient dimension reduction. Recent work explores Fréchet regression, functional graphical models, and kernel-based hypothesis testing. Articles highlight interdisciplinary applications in computer science, statistics, and mathematics. Statistical methods dominate his contributions, including Bayesian credible sets, copula models, and additive independence frameworks. Collaborations extend to multi-source genomic data analysis and immersive educational platforms via augmented reality. With an h-index of 16 and 74 research outputs, Bin Li’s expertise intersects wireless network optimization and statistical learning. His work addresses challenges in edge computing, cloud offloading, and cyber-physical systems through algorithmic innovation and theoretical rigor.

• English language teaching
• Applied linguistics
• Intercultural competence
• +۳ مورد دیگر

Leonarda Lovrović is a Senior Lecturer at the Department of English Studies, University of Zadar, Croatia, with a career spanning secondary education and tertiary teaching since 1999. Education Graduated in English Language and Literature and German Language and Literature, Faculty of Philosophy, University of Zadar, 1999. Research Interests Her main scholarly focus lies in English language teaching , particularly the integration of literature and authentic materials to foster intercultural competence , communicative competence , and task-based language learning . She explores how poetry, short stories, newspaper articles, and Shakespearean texts can be leveraged to develop learners’ linguistic and cultural awareness. Additional interests include academic writing instruction, learner attribution processes, and cross-linguistic influence in second-language acquisition. Recent Publication Trends Across the past 15 publications, a clear trajectory emerges from classroom-oriented studies on task-based and literature-driven pedagogy toward broader issues of intercultural education, sustainable development competences, and learner psychology. Early work emphasizes practical techniques—using poems, short stories, and newspapers—while recent outputs engage with virtual exchange, learner attributions, and culture-oriented curricula, reflecting an evolution from micro-level classroom strategies to macro-level educational concerns. Professional Memberships & Service Member, Croatian Society for Applied Linguistics (HDPL) Member, Croatian Philological Society (HFD) Member, Croatian Association of Teachers of English (HUPE) Teaching & Advising At the undergraduate level she teaches Modern English ; at the graduate level she delivers Modern Language – Language Exercises . She also leads teacher-training seminars and actively participates in international conferences, indicating ongoing mentorship and professional development activities for both pre-service and in-service teachers. Labs & Teams While no dedicated lab is mentioned, her continuous involvement in national and international applied-linguistics societies and conference organizing committees suggests collaborative engagement with broader research and teacher-training networks at the University of Zadar and beyond.

• Intelligent Informatics
• Computer Systems
• Agent-based Systems
• +۳ مورد دیگر

Takahiro Uchiya serves as Professor at Nagoya Institute of Technology, holding dual appointments in the Department of Information Engineering within the Faculty of Engineering and the Information Technology Center. His academic leadership spans agent-oriented knowledge engineering and intelligent informatics, with recent focus on disaster response robotics and multi-agent systems development. Uchiya completed his academic foundation at Tohoku University through a rigorous progression: Bachelor of Engineering, Faculty of Engineering (1999) Master of Information Science, Graduate School of Information Science (2001) Doctor of Information Science, Graduate School of Information Science (2004) His research centers on agent-oriented knowledge representation, problem solving, and acquisition techniques, with significant extensions into cyber society software platforms and social knowledge applications. Recent investigations reveal a pronounced shift toward practical disaster management solutions, including robot-guided evacuation systems and BLE-based positioning technologies. This trajectory demonstrates consistent innovation in translating theoretical multi-agent frameworks into real-world emergency response tools. Uchiya's scientific contributions have earned recognition including the BWCCA2024 Best Paper Award and IEEE CES West Japan Chapter Young Researcher Award. His award portfolio spans both Japanese and international venues, reflecting broad scholarly impact. Through committee roles in the Information Processing Society of Japan and Institute of Electronics, Information and Communication Engineers, Uchiya actively shapes academic discourse. His societal engagement manifests in developing voice dialogue systems for elderly care and robotics programming workshops for schoolchildren, bridging academic research with community needs through events like Science Agora 2018.

Jakob Lorentzenمشاهده پروفایل

استاد بالینی

• Motor Control
• Neurorehabilitation
• Cerebral Palsy Research
• +۵ مورد دیگر

Jakob Lorentzen serves as a Clinical Professor in the Department of Neuroscience within the Faculty of Health and Medical Sciences at the University of Copenhagen. His research focuses on motor control disorders, neurorehabilitation techniques, and neurophysiological mechanisms in neurological conditions. His primary research interests include motor control , cerebral palsy pathophysiology , spasticity assessment , and wearable sensor technology for movement analysis. Current work explores neural mechanisms of muscle fatigue, contracture development in cerebral palsy, and pharmacological interventions targeting spinal reflex pathways. Recent publications demonstrate strong emphasis on quantitative neurophysiological assessment and technology-driven rehabilitation approaches , with significant contributions to understanding movement disorders through biomechanical and electrophysiological methodologies. His work frequently appears in high-impact journals including Clinical Neurophysiology and Journal of Neurophysiology . Collaborative research spans multiple international institutions, with documented external collaborations across various countries as indicated by network analysis of his publication record.

Swapna S. Gokhaleمشاهده پروفایل

دانشیار

• Spatial Machine Learning
• Social Determinants of Health
• Health Outcomes Research
• +۵ مورد دیگر

Swapna S. Gokhale, Ph.D. is an Associate Professor in the School of Computing at the University of Connecticut . Her work bridges computer science and public health through innovative applications of spatial machine learning to understand how social determinants influence health outcomes across communities. Education Ph.D. in Computer Science from Duke University (1998) Research Focus Dr. Gokhale's research program centers on developing and applying spatial machine learning approaches to study how social determinants of health impact health outcomes , health risk behaviors , and preventive services . Her work represents a critical intersection between computational methods and public health research, utilizing advanced analytics to uncover patterns in health disparities and inform evidence-based interventions. Her research spans multiple domains including: Machine learning applications in healthcare and epidemiology Social media analytics for understanding public health discourse 5G network optimization and Internet of Things (IoT) applications Software reliability and cloud computing systems Network security and performance analysis Research Portfolio Analysis Dr. Gokhale's recent publications demonstrate a sophisticated research portfolio that evolved from foundational work in software reliability and network systems to cutting-edge applications in computational public health . Her 2024-2025 publications prominently feature spatial machine learning approaches applied to critical health issues including suicide mortality, chronic disease outcomes, and social deprivation effects on health behaviors. The work shows consistent application of advanced computational techniques to address pressing societal challenges. Contact & Collaboration Dr. Gokhale maintains an active research presence with her Google Scholar profile serving as a comprehensive repository of her scholarly work. She is available for collaboration through her university email and welcomes partnerships that advance the intersection of technology and health outcomes research.

Stephanie Wongمشاهده پروفایل

پژوهشگر ارشد

• Clinical Neuropsychology
• Aging and Dementia
• Cognitive Neuroscience
• +۷ مورد دیگر

Dr Stephanie Wong is a Senior Research Fellow and Clinical Neuropsychologist at Flinders University, specializing in clinical dementia research with 10+ years of experience. She combines neuropsychology, cognitive neuroscience, and neuroimaging to study neurobiological bases of cognitive decline in aging and dementia. PhD in Psychology Master of Clinical Neuropsychology BPsych(Hons) Her research focuses on translating findings into clinical practice and interventions for dementia. Key areas include apathy mechanisms, financial capability assessments, spatial navigation deficits, and social cognition changes across neurodegenerative diseases. She employs neuroimaging and behavioral studies to uncover neural substrates of empathy, decision-making, and memory processing. Recent publications analyze VR applications for aging well-being, hippocampal segmentation techniques, and reward processing in dementia. Her grants include MRFF Dementia Ageing Mission (2023–2026) and NHMRC Investigator Grant (2021–2025). 2023–2026: Medical Research Future Fund Dementia Ageing and Aged Care Mission 2021–2025: NHMRC Investigator Grant (EL1) 2021: Ecstra Foundation Financial Wellbeing and Ageing Well Grants 2019–2021: Dementia Australia Research Foundation Hazel Hawke Grant Teaching interests span clinical neuropsychology, aging/dementia, and topic lecturing for PSYC3010 Mind, Brain and Behaviour. Professional roles include Australian Psychological Society membership, ADNeT EMCR Accelerator Group co-chair, and AS4SAN committee member.

Emily Floydمشاهده پروفایل

مدرس

• Visual Arts
• Religious Studies
• Colonial Latin American Art
• +۵ مورد دیگر

Dr. Emily Floyd is a Lecturer in Art and Visual Culture before 1700 at University College London's Department of History of Art, specializing in colonial Latin American art with particular expertise in print culture from colonial Lima. Her scholarly work bridges art history, religious studies, and critical race theory, focusing on how visual representations engaged with questions of race, religion, and identity in the colonial Andes. Education: BA in History of Art and Religious Studies from Smith College (2009) MAR in Religion and the Arts from Yale University's Institute of Sacred Music PhD in Art History and Latin American Studies from Tulane University (2018) Floyd's research centers on visual representations of race in colonial contexts, with her current Leverhulme Trust and Thoma Foundation-supported project "The Monster and the Saint: Seeing Race in the Colonial Andes" examining normative whiteness, implicit racial depictions, and intersections of sanctity, monstrosity, and the body. Her scholarship reveals how colonial visual culture constructed racial categories through religious imagery and printmaking techniques, particularly in 17th-18th century Lima. She has published extensively in both English and Spanish, demonstrating commitment to transnational academic dialogue and accessibility across linguistic boundaries. Analysis of Floyd's publication record shows consistent scholarly output with increasing focus on race studies within colonial contexts. Her work demonstrates sophisticated interdisciplinary methodology, blending close visual analysis with historical contextualization to unpack how colonial prints functioned within devotional networks while simultaneously constructing racial hierarchies. The geographic scope of her research extends beyond Lima to examine transatlantic connections between the Andes and Europe. Recognition: Leverhulme Trust Research Grant for "The Monster and the Saint: Seeing Race in the Colonial Andes" Thoma Foundation support for research on colonial visual culture Floyd currently supervises two PhD students whose projects extend her research interests into related territories: Manuela Portales Sanfuentes examines decorative arts in Latin American museums, while Daen Palma Huse investigates hand-held ephemera in nineteenth-century Peru. Her grant funding demonstrates significant external validation of her research trajectory and methodological innovations in the field of colonial Latin American art history. As Editor and Curator for the Center for the Study of Material and Visual Cultures of Religion (MAVCOR) at Yale University, Floyd contributes to digital scholarship initiatives that make religious material culture accessible to global audiences. Her work with MAVCOR reflects her commitment to collaborative research models and digital humanities approaches that transform how scholars engage with visual and material evidence from religious traditions worldwide.